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| with: | ||
| persist-credentials: false | ||
| - name: Setup repository | ||
| uses: ./.github/actions/setup-action |
| - name: Setup repository | ||
| uses: ./.github/actions/setup-action | ||
| - name: Setup environment | ||
| uses: ./.github/actions/setup-environment-action |
| - name: Setup environment | ||
| uses: ./.github/actions/setup-environment-action | ||
| - name: run PostCommit Java Dataflow V2 scale tests | ||
| uses: ./.github/actions/gradle-command-self-hosted-action |
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The 1 TB BigQuery read takes about 2h22 in the Dataflow V2 integration reports (example). It currently runs as part of the suite scheduled every eight hours.
Run that case unchanged in a dedicated daily V2 scale job. Keep the other BigQuery read cases in the regular suite and retain the existing explicit CI triggers for running both lanes. The tradeoff is daily rather than eight-hour feedback for the 1 TB case.
Validated the actual Gradle task graph and test selection with
--test-dry-run, plus workflow syntax. The two tasks retain the same V2 options, SDK build dependencies, classpath, and cleanup. The test input and row-count assertion are unchanged. No Dataflow jobs or SDK images were published during local validation.